Christian Romero

P Oklahoma City Comets

Age 24 RHP 6'3" / 195 lbs AAA Svc 0.0 · Ctrl thru 2034 peak 1.1 · 2029

Overview

AAAPROSPECTMiLBFA 2035

OGV OFP35OGV rank#708ETA2028MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	MIX3 levels	25	14	100	4.24	4.30	17.3%	8.8%	—	K 13.6% · BB 9.7% · FIP 4.99
2025	22	MIX2 levels	25	15	103	4.98	3.93	18.7%	8.1%	—	K 15.1% · BB 8.5% · FIP 4.55
2026	23	AAALAD	30	22	135	4.06	4.12	19.3%	8.2%	—	K 16.6% · BB 7.4% · FIP 4.36
2027PROJ	24	MLBLAD	1	1	8	5.17	5.17	13.9%	9.2%	0.0
2028PROJ48% MLB	25	MLBLAD	7	7	49	5.09	5.05	15.7%	8.9%	0.2
2029PROJ69% MLB	26	MLBLAD	10	10	71	4.98	4.94	16.7%	8.8%	0.4

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$0.6M2033Arb-2$0.4M2034Arb-3$7M

Scouting grades · 20-80

Stuff30Control50Command35

Career WAR0.0 WAR median (P10 -0.5 / P90 5.0, comp-based) · star 0% · didn't stick 81%

CompsJustin Dillon (age 24) · Zach Miner (age 24) · Cooper Chandler (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131123vR 115

ERA5.17

FIP5.17

K%13.9%

BB%9.2%

K-BB%4.8%

Proj IP85

Value2027 · WAR

Runs saved vs league avg · 85 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus

Grades · Contract

Scouting Grades

STUF3030

CTRL5050

CMD3535

K†3040

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Arb-1	$0.6M	+0.3	$0.8M	+$0.5M
2033	Arb-2	$0.4M	+0.1	$0.3M	+$0.0M
2034	Arb-3	$7M	—	—	—
Totals		$4M		$4M	+$2M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2021	18	ROK MLE	DSL Dodgers Shoemaker	10	5	29	116	32	8	1	50%	2.9	18.8%	8.6%	10.1%	1.2%	3.72	3.25	—
2021	18	ROK RAW	DSL Dodgers Shoemaker	10	5	29	116	32	8	1	50%	2.9	27.6%	6.9%	20.7%	0.9%	3.72	2.17	—
2022	19	ROK MLE	ACL Dodgers	10	1	22	89	28	2	3	10%	2.2	21.4%	2.8%	18.6%	5.2%	4.91	4.49	—
2022	19	ROK RAW	ACL Dodgers	10	1	22	89	28	2	3	10%	2.2	31.5%	2.2%	29.2%	3.4%	4.91	2.60	—
2023	20	A MLE	Rancho Cucamonga Quakes	20	10	77	303	74	21	10	50%	3.8	18.1%	8.2%	9.9%	4.2%	3.17	4.91	—
2023	20	A RAW	Rancho Cucamonga Quakes	20	10	77	303	74	21	10	50%	3.8	24.4%	6.9%	17.5%	3.3%	3.17	3.69	—
2024	21	MIX MLE	3 levels	25	14	100	433	75	38	12	56%	4.0	13.6%	9.7%	3.9%	3.3%	4.24	4.99	—
2024	21	MIX MLE	3 levels	25	14	100	433	75	38	12	56%	4.0	13.6%	9.7%	3.9%	3.3%	4.24	4.99	—
2024	21	MIX RAW	3 levels	25	14	100	433	75	38	12	56%	4.0	17.3%	8.8%	8.5%	2.8%	4.24	4.30	—
2025	22	MIX MLE	2 levels	25	15	103	443	83	36	11	60%	4.1	15.1%	8.5%	6.6%	3.0%	4.98	4.55	—
2025	22	MIX MLE	2 levels	25	15	103	443	83	36	11	60%	4.1	15.1%	8.5%	6.6%	3.0%	4.98	4.55	—
2025	22	MIX RAW	2 levels	25	15	103	443	83	36	11	60%	4.1	18.7%	8.1%	10.6%	2.5%	4.98	3.93	—
2026	23	AAA MLE	Oklahoma City Comets	30	22	135	596	115	49	17	73%	4.5	16.6%	7.4%	9.2%	3.1%	4.06	4.36	—
2026	23	AAA MLE	Oklahoma City Comets	30	22	135	596	115	49	17	73%	4.5	16.6%	7.4%	9.2%	3.1%	4.06	4.36	—
2026	23	AAA RAW	Oklahoma City Comets	30	22	135	596	115	49	17	73%	4.5	19.3%	8.2%	11.1%	2.9%	4.06	4.12	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	LAD	1	1	8	34	5	3	1	100%	8.0	13.9%	9.2%	4.8%	3.1%	5.17	5.17	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	LAD	15	15	102	433	68	38	13	100%	6.8	15.7%	8.9%	6.8%	3.1%	5.02	4.98	+0.5
2029	26	MLB MLE	LAD	15	15	102	433	72	38	13	100%	6.8	16.7%	8.8%	7.9%	3.1%	4.91	4.87	+0.6
2030	27	MLB MLE	LAD	14	14	95	400	68	35	13	100%	6.8	17.0%	8.8%	8.2%	3.1%	4.88	4.88	+0.6
2031	28	MLB MLE	LAD	14	14	92	389	66	35	13	100%	6.6	17.0%	8.9%	8.1%	3.2%	4.91	4.95	+0.5
2032	29	MLB MLE	LAD	13	13	86	361	60	33	12	100%	6.6	16.7%	9.1%	7.6%	3.4%	5.01	5.08	+0.3
2033	30	MLB MLE	LAD	11	11	78	328	54	31	12	100%	7.1	16.4%	9.4%	6.9%	3.6%	5.16	5.25	+0.1
2028	25	MLB CTX	LAD	7	7	49	207	32	18	7	100%	7.0	15.7%	8.9%	6.8%	3.2%	5.09	5.05	+0.2
2029	26	MLB CTX	LAD	10	10	71	300	50	26	10	100%	7.1	16.7%	8.8%	7.9%	3.2%	4.98	4.94	+0.4
2030	27	MLB CTX	LAD	11	11	75	317	54	28	10	100%	6.8	17.0%	8.8%	8.2%	3.3%	4.95	4.95	+0.4
2031	28	MLB CTX	LAD	11	11	78	329	56	29	11	100%	7.1	17.0%	8.9%	8.1%	3.4%	4.99	5.03	+0.4
2032	29	MLB CTX	LAD	11	11	75	317	53	29	11	100%	6.8	16.7%	9.1%	7.6%	3.5%	5.09	5.16	+0.3
2033	30	MLB CTX	LAD	10	10	70	296	48	28	11	100%	7.0	16.4%	9.4%	6.9%	3.7%	5.24	5.33	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		62	62	420	1772	294	159	60	100%	6.8	16.6%	9.0%	7.6%	3.4%	5.05	4.70	+3.4
/ 200 IP	—	RAW		29	29	200	844	140	76	29	100%	6.8	16.6%	9.0%	7.6%	3.4%	5.05	4.70	+1.6
Career	—	MLE		120	67	466	1980	320	161	65	56%	3.9	16.2%	8.1%	8.1%	3.3%	4.17	4.57	+2.6
/ 200 IP	—	MLE		52	29	200	850	138	69	28	56%	3.9	16.2%	8.1%	8.1%	3.3%	4.17	4.57	+0.9

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAAOklahoma City Comets · 135 IPFIP 4.08 → 4.36 (+0.28)K% 19.3% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.30%	—	×0.860	16.59%
BB% (unintentional) /BF	8.22%	—	×0.900	7.40%
HR / BF /BF	2.85%	÷1.000	×1.100	3.14%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 4.08 → 4.36, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 A+Great Lakes Loons · 63 IPFIP 3.76 → 4.57 (+0.81)K% 17.9% → 13.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.88%	—	×0.770	13.77%
BB% (unintentional) /BF	7.66%	—	×1.150	8.81%
HR / BF /BF	2.19%	÷0.992	×1.250	2.76%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 98).

Result: FIP 3.76 → 4.57, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAAOklahoma City Comets · 40 IPFIP 4.15 → 4.52 (+0.37)K% 20.1% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.12%	—	×0.860	17.30%
BB% (unintentional) /BF	8.88%	—	×0.900	7.99%
HR / BF /BF	2.96%	÷0.956	×1.100	3.40%

Result: FIP 4.15 → 4.52, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 A+Great Lakes Loons · 64 IPFIP 3.35 → 4.10 (+0.76)K% 20.9% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.87%	—	×0.770	16.07%
BB% (unintentional) /BF	9.06%	—	×1.150	10.41%
HR / BF /BF	1.57%	÷1.036	×1.250	1.90%

Result: FIP 3.35 → 4.10, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AATulsa Drillers · 18 IPFIP 4.96 → 5.57 (+0.61)K% 15.1% → 12.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.05%	—	×0.810	12.19%
BB% (unintentional) /BF	10.75%	—	×1.100	11.83%
HR / BF /BF	3.23%	÷1.063	×1.200	3.64%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 113).

Result: FIP 4.96 → 5.57, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAAOklahoma City Baseball Club · 18 IPFIP 6.24 → 7.00 (+0.76)K% 9.3% → 8.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	9.30%	—	×0.860	8.00%
BB% (unintentional) /BF	5.81%	—	×0.900	5.23%
HR / BF /BF	5.81%	÷0.896	×1.100	7.14%

Result: FIP 6.24 → 7.00, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ARancho Cucamonga Quakes · 77 IPFIP 3.73 → 4.91 (+1.18)K% 24.4% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.42%	—	×0.740	18.07%
BB% (unintentional) /BF	6.93%	—	×1.180	8.18%
HR / BF /BF	3.30%	÷1.025	×1.300	4.19%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 105).

Result: FIP 3.73 → 4.91, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 ROKACL Dodgers · 22 IPFIP 2.58 → 4.49 (+1.91)K% 31.5% → 21.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.46%	—	×0.680	21.39%
BB% (unintentional) /BF	2.25%	—	×1.250	2.81%
HR / BF /BF	3.37%	÷0.912	×1.400	5.18%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 82).

Result: FIP 2.58 → 4.49, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Christian Romero (OGILVIE)	—	—	5.17	13.9%	9.2%	3.1%	—	4.91	16.4%	7.6%	300	-0.26	—	—	—
Justin Dillon R 2018 · 5.26 FIP	24	SP-	5.26	11.8%	8.8%	3.7%	.265	4.34	15.6%	9.1%	124	-0.92	3.65	239	91
Zach Miner R 2006 · 4.35 FIP	24	SP-	4.35	14.8%	7.8%	2.8%	.300	4.24	13.8%	4.6%	264	-0.11	3.55	386	89
Cooper Chandler R 2023 · 4.33 FIP	24	SP-	4.33	17.8%	9.3%	2.9%	.300	3.78	23.5%	17.1%	18	-0.55	3.78	107	88
Carlos Sano R 2018 · 4.82 FIP	25	SP-	4.82	17.6%	11.2%	3.3%	.282	9.22	19.7%	7.1%	18	+4.40	4.82	105	86
Matt Peacock R 2018 · 4.20 FIP	24	SP-	4.20	16.0%	7.6%	2.7%	.300	4.27	13.6%	5.2%	202	+0.07	3.93	354	86
Bryce Morrow R 2015 · 4.31 FIP	27	SP-	4.31	12.8%	7.9%	2.4%	.316	5.44	10.1%	-0.2%	50	+1.13	4.31	125	84
Zach Lewis R 2019 · 4.14 FIP	24	SP-	4.14	14.9%	9.4%	2.0%	.331	—	—	—	—	—	3.57	266	84
Preston Morrison R 2017 · 4.97 FIP	24	SP-	4.97	13.4%	7.8%	3.7%	.300	4.94	17.1%	9.4%	58	-0.03	2.93	305	84
Mike Augliera R 2015 · 4.27 FIP	25	SP-	4.27	12.0%	7.2%	2.3%	.350	—	—	—	—	—	4.27	114	84
Felipe Gonzalez R 2016 · 5.47 FIP	24	SP-	5.47	14.7%	10.6%	4.1%	.330	4.12	19.9%	10.4%	139	-1.35	3.27	339	84
Trenton Toplikar R 2019 · 4.32 FIP	23	SP-	4.32	14.8%	10.1%	2.2%	.248	5.39	16.5%	6.4%	123	+1.07	4.32	232	83
D.J. Houlton R 2005 · 4.85 FIP	25	SP-	4.85	15.6%	8.5%	3.6%	.297	4.74	18.6%	12.4%	28	-0.11	4.74	157	83
Matt Marsh R 2015 · 4.14 FIP	24	SW	4.14	15.5%	10.7%	1.8%	.275	3.65	20.5%	11.4%	70	-0.49	3.13	143	83
Kyle Scott R 2024 · 4.12 FIP	22	SP-	4.12	17.7%	8.2%	2.7%	.269	3.94	15.9%	4.3%	42	-0.18	3.94	138	83
Kyle Haynes R 2015 · 4.08 FIP	24	SP-	4.08	14.3%	10.3%	1.6%	.302	4.58	15.7%	5.8%	124	+0.50	4.08	240	83
Nick Belzer R 2019 · 4.23 FIP	23	SP-	4.23	14.5%	9.1%	2.2%	.291	4.51	12.8%	4.2%	63	+0.28	4.23	112	82
Brooks Hall R 2015 · 4.12 FIP	25	SP-	4.12	14.3%	6.9%	2.5%	.291	4.00	14.0%	7.0%	153	-0.12	3.45	274	82
Edgar Alberto Garcia R 2015 · 5.24 FIP	27	SP-	5.24	11.6%	9.8%	3.4%	.263	4.28	15.3%	5.2%	167	-0.96	4.01	272	82
Braden Olthoff R 2022 · 4.50 FIP	23	SP-	4.50	12.5%	8.0%	2.6%	.280	—	—	—	—	—	4.50	108	82
Hunter Adkins R 2016 · 4.64 FIP	25	SW	4.64	16.2%	10.3%	2.9%	.290	4.82	11.8%	0.5%	58	+0.18	4.64	160	82

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	3.2	92	16.2%	9.0%	1.24	5.00
Micah Owings ('12)	2.4	97	16.4%	9.8%	1.19	4.86
Chad Bettis ('19)	3.0	86	16.2%	7.9%	1.18	5.12
Casey Fossum ('09)	3.9	98	17.2%	9.0%	1.31	5.45
Galen Cisco ('61-'69, -2 WAR*)	3.3	94	14.7%*	10.4%*	1.22*	5.30*
Bob Sadowski ('63-'66, 2 WAR*)	2.2	110	17.7%*	8.0%*	1.20*	4.73*
John Montague ('73-'80, -2 WAR*)	2.7	91	17.0%*	9.3%*	1.23*	4.98*